<p class="MsoNormal">Hello,</p>
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<p class="MsoNormal" style="text-align: left">I,m new in Python, I want to design and train a binary
neural network <span style="font-size:5.5pt;
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in Python.
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207.1pt;mso-element-top:299.7pt;mso-height-rule:exactly"><span style="font-family: "AdvGulliv R"; color: #000000"><font size="2">This model of neural network should make preprocessing expert system model to
deal with </font></span><span style="font-family: "AdvGulliv R"; color: #000000"><font size="2">the original telecommunications alarms. </font></span>
<span style="font-family: "AdvGulliv R"; color: #000000"><font size="2"><strong>The model can be seen as the simplest kind of feed-</strong></font></span><span style="font-family: "AdvGulliv R"; color: #000000"><font size="2"><strong>forward neural network which contains three inputs, six link </strong></font></span><span style="font-family: "AdvGulliv R"; color: #000000"><font size="2"><strong>weights, two neuron and two outputs</strong>.</font></span>
<span style="font-family: "AdvGulliv R"; color: #000000"><font size="2">This model uses two important techniques, of
which the time window technique </font></span><span style="font-family: "AdvGulliv R"; color: #000000"><font size="2">is used for converting original alarms into transactions, and the
neural network technique can classify </font></span><span style="font-family: "AdvGulliv R"; color: #000000"><font size="2">the alarms with different levels according to the characteristics
of telecommunication networks in order </font></span><span style="line-height: 115%; font-family: "AdvGulliv R"; color: #000000"><font size="2">to mine the weighted association rules.</font></span></p></td></tr>
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padding-bottom:0cm;padding-left:0cm"><div><font size="2">Can anyone </font><font size="2">guide me, from where can I get some useful
material/eBook/libraries </font><font size="2">etc. for the same (maybe there is source code already written?). I have no prior experience in neural
netwoks and </font><font size="2">want to implement it urgently.</font></div></td></tr></tbody></table><div>
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<p class="MsoNormal">Thanks in advance :)</p><br></p>